基于神经网络的增量PID算法及仿真研究

Research on Incremental PID Algorithm and Simulation Based on Neural Network

为了解决传统PID控制器对时变系统控制能力不强的弱点。利用神经网络理论与传统PID控制理论相结合。设计了一种基于神经网络的增量PID控制器,实现PID参数的在线自整定。通过实例仿真试验比较,这种控制器比传统的PID具有较强的适应性,可以获得满意的控制效果。

To resolve the shortages of traditional PID controller which is not strong enough to control the time-varying system, an incremental PID controller based on neural network is designed to realize the online self-tuning of PID parameters in combination with the neural network theory and traditional PID control theory. The result of experiment simulation shows that the controller has better adaptability than the traditional PID controller and can obtain the satisfactory control effect.